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Install in OpenClaw
/install visual-benchmarker
Description
(元技能) 视觉对标视频搜索器，通过指导AI调用其他工具，为项目确认视觉风格。
Usage Guidance
This meta-skill is instruction-only and appears coherent: it extracts keywords from a user-provided text file and delegates video search to an installed douyin-video-search skill. Before installing/using it, confirm that you have (or trust) the douyin-video-search skill referenced in SKILL.md and that its tikhub_api_token (mentioned in the doc) is configured securely — the meta-skill will rely on that token when invoking the tool. Also avoid uploading sensitive secrets in the input text (the skill processes user-provided text), and if you want stronger assurance, request or inspect the douyin-video-search skill's manifest/source to see what network calls and credentials it actually uses.
Capability Analysis
Type: OpenClaw Skill
Name: visual-benchmarker
Version: 1.0.0
The 'visual-benchmarker' skill is a purely instructional 'meta-skill' (SKILL.md) that guides an AI agent through a workflow of keyword extraction and video searching. It contains no executable code, does not request sensitive permissions, and relies on a legitimate dependency (douyin-video-search) to perform its stated function without any signs of malicious intent or prompt injection attacks.
Capability Assessment
Purpose & Capability
The skill is explicitly a meta-skill whose job is to extract search keywords and orchestrate a call to an existing douyin-video-search tool to find example videos. The declared functionality matches the instructions and there are no unexpected binaries or credentials requested by this skill itself.
Instruction Scope
SKILL.md instructs the agent to read a user-supplied text file, produce search keywords, call the installed tools.douyin_video_search(...) interface, filter results and produce a Markdown report. The instructions are scoped to the stated purpose and explicitly forbid reading hard-coded local files. Note: the doc also says the douyin-video-search skill must be configured with a tikhub_api_token in config.json — the token requirement is for the dependent skill, not this meta-skill, but users should be aware the agent will rely on that configured credential when the tool is invoked.
Install Mechanism
No install spec and no code files — instruction-only means nothing is downloaded or written by this skill itself, which is the lowest-risk installation model.
Credentials
This skill declares no required environment variables or credentials itself. However, SKILL.md documents a dependency on an installed skill that requires tikhub_api_token in config.json. The meta-skill not declaring that dependency in registry metadata is a minor transparency gap: the meta-skill will effectively cause the agent to use a credential belonging to another configured skill.
Persistence & Privilege
Flags show always:false and default autonomous invocation behavior; the skill does not request elevated persistence or system-wide config changes and does not indicate it will modify other skills' settings.
How to Use
- Make sure OpenClaw is installed (local or Docker)
- Run the install command in chat:
/install visual-benchmarker - After installation, invoke the skill by name or use
/visual-benchmarker - Provide required inputs per the skill's parameter spec and get structured output
Version History
v1.0.0
Initial release of visual-benchmarker (元技能) – a workflow to help projects identify visual styles by orchestrating AI and external tools.
- Defines a 3-step process: extract search keywords, fetch Douyin videos using douyin-video-search skill, and select benchmark cases.
- Provides prompts and templates for AI to extract core categories and search terms from user documents.
- Specifies use of the douyin-video-search tool, with sample calls and usage guidelines.
- Outputs a Markdown report with at least 3 recommended videos, each with links and visual analysis.
- Emphasizes tool-based dynamic calls and quality of keyword extraction.
Metadata
Frequently Asked Questions
What is Visual Benchmarker?
(元技能) 视觉对标视频搜索器，通过指导AI调用其他工具，为项目确认视觉风格。 It is an AI Agent Skill for Claude Code / OpenClaw, with 138 downloads so far.
How do I install Visual Benchmarker?
Run "/install visual-benchmarker" in the OpenClaw or Claude Code chat to install it in one step — no extra setup required.
Is Visual Benchmarker free?
Yes, Visual Benchmarker is completely free, licensed under MIT-0. You can download, install and use it at no cost.
Which platforms does Visual Benchmarker support?
Visual Benchmarker is cross-platform and runs anywhere OpenClaw / Claude Code is available (cross-platform).
Who created Visual Benchmarker?
It is built and maintained by an (@ahsbnb); the current version is v1.0.0.
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